Triple
T15665426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taiwan Railways Administration |
E377173
|
entity |
| Predicate | operatesIn |
P82
|
FINISHED |
| Object | Nantou |
E125431
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nantou | Statement: [Taiwan Railways Administration, operatesIn, Nantou]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nantou Context triple: [Taiwan Railways Administration, operatesIn, Nantou]
-
A.
Nantou
Nantou is a historic subdistrict in Shenzhen’s Nanshan District, known as the site of the old county seat and a preserved ancient town area.
-
B.
Nantou County
chosen
Nantou County is a mountainous county in central Taiwan known for its indigenous communities, scenic landscapes like Sun Moon Lake, and its role in significant historical events.
-
C.
Chiayi
Chiayi is a city in southwestern Taiwan known as a gateway to the Alishan scenic area and for its role as a regional transportation and cultural hub.
-
D.
Xinyi
Xinyi is a county-level city administered by Xuzhou in Jiangsu Province, eastern China.
-
E.
Xinyi
Xinyi is a county-level city administered by Maoming in Guangdong Province, China, known for its agriculture and regional commerce.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f0f4df08190ad2c5d78e435d8eb |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c28f43988190aa06da8c356b9646 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 4:16 a.m.